Assessment of reproductive history in systemic sclerosis
Bibliographic record
Abstract
OBJECTIVE: To assess the number of live births in women whose systemic sclerosis (SSc) onset occurred during their reproductive years, and to compare this with general population rates. METHODS: Within the Canadian Scleroderma Research Group cohort, we identified 320 women whose SSc symptoms began prior to age 50 years. We determined the number of children born in the years following first onset of symptoms. We summed the years of followup from the time of first symptoms in subjects up to age 50 years (or oldest age attained, if the subject was age <49 years). We applied age-specific birth rates for Canadian women to these years of followup in order to determine the expected number of live births for the period. We then calculated the standardized incidence ratio (SIR) of observed to expected live births. RESULTS: In the 320 women studied, the number of live births over the interval since symptom onset was below the expected number (111 live births observed versus 140 expected; SIR 0.79, 95% confidence interval [95% CI] 0.65-0.95). This finding was more prominent in women with diffuse cutaneous disease versus limited cutaneous disease. The mean and median numbers of live births were similar across SSc subgroups based on organ involvement or cyclophosphamide exposure. In repeat analyses, including the reproductive period before SSc symptom onset, the ratio of observed to expected births was 1.23 (95% CI 1.13-1.33). CONCLUSION: Compared with the general population, fewer live births were noted in women with SSc, but this phenomenon was only apparent in the period after symptom onset.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".